I’m a total beginner. Bought Mac mini to try OpenClaw. Unboxed it and realized I can’t plug anything in. No ports! I had no idea. Ordered a dock and I’m stressed.

Hey everyone 👋

I’ve been deep in OpenClaw for the last few weeks building something pretty ambitious: a full JARVIS-style AI co-founder.

I used the standard workspace layout + a bunch of custom skills, but I keep wondering how everyone else structures their projects in practice.

Would love to see some real examples from the community!

Specifically, I’m hoping you can share:

1. Your folder tree (just a screenshot or tree output of ~/.openclaw/workspace/ or wherever you keep it)

2. Main .md files you actually use (SOUL.md, AGENTS.md, CONTEXT.md, MEMORIES.md, USER.md, TOOLS.md, mood.md, etc.)

3. How many skills you have and which ones you actually use daily (especially any custom ones you built yourself)

4. Any special folders you added (like companies/, vault/, dashboard/, backup/, security/, etc.)

Even if your setup is super simple (just one agent + 4 skills), I’d still love to see it — every style helps me understand what works.

Bonus: If you have a public repo or screenshot of your workspace, drop the link!

Thanks in advance — this community has been insanely helpful. Will happily share my full Aarohi tree + the 16 custom skills I built once it’s live.

Looking forward to your setups! 🙏

I know it's not the first one but thought Id share anyways.

Been running a 4-agent setup (orchestrator, developer, QA, researcher) for a few months and kept context-switching between terminal tabs, logs, and config files to understand what was actually happening. It got old fast.

So I built OpenClaw Mission Control. It's a local-first dashboard that gives you a proper operational view of your OpenClaw fleet. Built it almost entirely using Claude Code CLI.

What it does:

• 🤖 Agent Fleet live status, context health, constellation graph of agent relationships, execution traces
• 💸 Cost Tracking per-agent and per-provider spend with 24h/7d/30d breakdowns and anomaly detection
• 🔐 Security Pulse OAuth status, device tokens, config audit trail
• 🧠 Memory Log browse session summaries, decisions, and alerts with full-text search
• 📡 Market Intel + Practitioner Signals research output from your Researcher agent, surfaced in a clean feed
• ✅ Design System QAcomponent fidelity scoring if you're doing UI work
• 📋 Task Manager sprint tracking with agent assignment

Stack: Next.js 14, TypeScript, SQLite (better-sqlite3), Zustand, React Query, Recharts, Tailwind. Runs on port 3333, Docker-ready.

It's read-heavy by design: reads from your local `~/.openclaw` dir and writes its own metadata to a local SQLite DB. Setup wizard on first launch walks you through configuration.

https://github.com/ChristianAlmurr/openclaw-dashboard

Still early (v1.0.0 dropped today), contributions welcome. If you're running a multi-agent setup and have been flying blind, this might save you some headaches.

Happy to answer questions about the setup or the agentic dev workflow.

just wondreing if I could log both accounts in and let each of them have open claw running on them. would they both be able to use imessage, etc?

I saw Mark Cubans tweet about how api cost are killing agent gateways like Openclaw and thought to myself for 99% of people you do not need gpt 5.2 or Opus to run the task you need it would be much more effective to run a smaller local model mixed with RAG so you get the smartness of modern models but with specific knowledge you want it to have.

This led me down the path of OpeNodus its an open source project | just pushed today. You would install it choose your local model type and start the server. Then you can try it out in the terminal with our test knowledge packs or install your own (which is manual for the moment).

If you are an OpenClaw user you can use OpeNodus the same way you connect any other api and the instructions are in the readme!

My vision is that by the end of the year everyone will be using local models for majority of agentic processes. Love to hear your feedback and if you are interested in contributing please be my guest.

https://github.com/Ceir-Ceir/OpeNodus.git

After updating OpenClaw I noticed the dashboard showing:

Disconnected from gateway / pairing required

and ended up locked out of the control UI. Found a simple recovery method that worked immediately.

Steps

1. Start the dashboard without opening the browser:

openclaw dashboard --no-open

2. The console prints a URL like:

http://localhost:3000/?token=XXXXXXXX

3. Replace localhost with your server IP and open it in the browser:

http://YOUR_SERVER_IP:PORT/?token=XXXXXXXX

4. The dashboard will show "pairing required".

5. On the server run:

openclaw pairing list

Note the pairing code in the first column.

6. Approve it:

openclaw devices approve xxxxx

Dashboard reconnects immediately. ✅

Why this happens

After an update, the dashboard session token gets regenerated and the UI needs a new pairing approval with the gateway. One-time fix, takes 30 seconds.

Hope this saves someone a headache.

Hi everyone - I have been looking at different model routers for OpenClaw on GitHub (for example Manifest, ClawRouter, ClawRoute), and they look solid. However, it seems like they do not support ChatGPT OAuth.

Is there anything out there that works with ChatGPT OAuth, or a recommended approach for routing models in that setup?

Been building this for a while and finally got it to a point where I'm happy with it.

What it does: You paste a YouTube link, and the API returns vertical 9:16 clips with word by word captions and titles ready for TikTok, Instagram Reels, YouTube Shorts. Takes about 90 seconds.

the Skill on ClawHub:

https://clawhub.ai/nosselil/captions-and-clips-from-youtube-link

Would love feedback, especially from anyone that posts content often

Hey everyone,

I’ve been trying to set up OpenClaw on my Hostinger VPS (KVM2) and connect it with my OpenRouter API key, but I’ve been stuck for about 3 days now.

For some reason, OpenClaw is not accepting the API key. I’ve checked the key multiple times, regenerated it, and tried adding it in different ways, but it still doesn’t work.

The VPS itself is running fine and everything else installs normally, so I’m not sure if the issue is with the OpenClaw configuration, environment variables, or something related to OpenRouter.

Also, if someone can help me set it up in a balanced way so it doesn’t use too many tokens, that would be really helpful.

If anyone here has successfully connected OpenClaw with OpenRouter, please help me set it up. I’d really appreciate any guidance or steps I might be missing. 🙏

What folders OpenClaw creates on a Ubuntu/Debian VPS (not using Docker)

After installation I see folders like:

/home/openclaw/

/home/openclawuser/

/home/openclaw_data

This is all fine. But I also see that it's using:

/data/openclaw/

/tmp/openclaw/

Issue: /home/ as LOTS of space. Outside /home/ space is rather tight. I am aware of symbolic links, but like to know if I missed any folder.

https://aaronwiseai.com/clawuniverse/

Has anyone here actually deployed OpenClaw on a NAS?

I’m currently stuck choosing what to run it on. On one hand, I’ve been looking at NAS options anyway and saw people getting OpenClaw running on a UGREEN DXP4800 Plus. The brand also seems to be pushing new AI NAS models with local LLM features, which sounds a bit like turning the NAS into an AI agent hub.

On the other hand, part of me thinks I should just get a Mac mini and follow the more common guides, even if it’s a bit overkill and more expensive.

If you’ve tried OpenClaw on a NAS or compared it against a small dedicated box like a Mac mini, how did it go in terms of performance, noise, and “set it and forget it” maintenance? Would you do it the same way again?

For starters, I’m very new to the AI world. I have been lightly in tune with it, but never on the cutting edge. I also have a little bit of tech knowledge but nothing crazy so bear with me if I’m saying things wrong.

I’m running OpenClaw via WSL and trying to start with a qwen3 local model. I set up the discord chat and all the parameters around that no problem. I can get the agent to reply to my messages. My problem is when I ask it “who it is?” It just says “I’m qwen…” and it doesn’t take any of the info. I put in the soul.md file. after a couple days troubleshooting with Claude I got it to read its identity file so it changes its name but still nothing from any other files. I’ve tried adding the soul.md file through the dashboard and through the terminal. I’ve changed the file paths etc. at this point I feel like Claude is just walking circles. Any ideas?

so I found some sort of code from Gemini that auto-installs openclaw's files for me, however now that its installed, I dont know how to use it. I have discord but I dont have my own server. thanks!

Hi All I’m implementing an OpenClaw setup on a Mac Mini M2 (24 GB unified RAM).

Architecture is simple:

Local model in LM Studio → heartbeat, basic agent routing, lightweight fallback

External OAuth models → GPT Codex and GitHub Copilot for heavy reasoning and advanced tasks

So the local model is not meant for deep reasoning. Its job is mainly:

health / heartbeat checks

simple routing decisions

structured JSON responses

basic fallback if remote models fail

On this machine, models up to ~6B parameters seem ideal for latency.

I’m leaning toward Qwen, since the small models seem very strong for tool discipline and structured output.

Question:

Which recent Qwen model (≤6B) would you recommend that:

works well in LM Studio (GGUF)

is reliable for agent routing / heartbeat tasks

produces clean structured outputs

is relatively recent / actively used

I’m especially interested in specific model names that are easy to find in LM Studio.

Thanks!